PCam [1]}: The PatchCamelyon metastasis detection benchmark consists of 327,680 color images (96\(\times \) 96 pixels) extracted from digital scans of breast cancer lymph node sections.
PCam is derived from the Camelyon16 Challenge [2]}, which contains 400 H&E stained WSIs of sentinel lymph node sections. The slides were acquired and digitized at 2 different centers using a 40\(\times \)  objective. We then undersample images at 10\(\times \)  to increase the field of view. We follow the train/test split from the Camelyon16 challenge, and further hold-out 20% of the train WSIs for the validation set. To prevent selecting background patches, slides are converted to HSV, blurred, and patches filtered out if maximum pixel saturation lies below 0.07. Each image is given a binary label indicating presence of metastatic tissue. Samples of the dataset are shown in Figure REF .
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